Modelling of bacterial growth with shifts in temperature using automated methods with Listeria monocytogenes and Pseudomonas aeruginosa as examples

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dc.contributor.authorSalih, Magdi-
dc.contributor.authorMytilinaios, Ioannis-
dc.contributor.authorSchofield, Hannah K.-
dc.contributor.authorLambert, Ronald J. W.-
dc.date.accessioned2012-06-27T23:01:25Z
dc.date.available2012-06-27T23:01:25Z
dc.date.issued2012-04-02T00:00:00Z-
dc.description.abstractTime to detection (TTD) measurements using turbidometry allow a straightforward method for the measurement of bacterial growth rates under isothermal conditions. Growth rate measurements were carried out for Listeria monocytogenes at 25, 30 and 37°C and for Pseudomonas aeruginosa over the temperature range 25 to 45°C. The classical three-parameter logistic model was rearranged to provide the theoretical foundation for the observed TTD. A model was subsequently developed for the analysis of TTD data from non-isothermal studies based on the Malthusian approximation of the logistic model. The model was able to predict the TTD for cultures of L. monocytogenes or P. aeruginosa undergoing simple temperature shunts (e.g. 25 to 37°C and vice versa), and for a multiple temperature shunt for L. monocytogenes (25-37-25-37°C and 37-25-37-25°C) over a period of 24h. In no case did a temperature shunt induce aen_UK
dc.identifier.citationM. Salih, I. Mytilinaios, H.K. Schofield and R.J.W. Lambert. Modelling of bacterial growth with shifts in temperature using automated methods with Listeria monocytogenes and Pseudomonas aeruginosa as examples. International Journal of Food Microbiology, Volume 155, Issues 1–2, 2 April 2012, Pages 29-35.
dc.identifier.issn0168-1605-
dc.identifier.urihttp://dx.doi.org/10.1016/j.ijfoodmicro.2012.01.011-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/7296
dc.publisherElsevier Science B.V., Amsterdam.en_UK
dc.subjectOptical densityen_UK
dc.subjectPseudomonas aeruginosaen_UK
dc.subjectListeria monocytogenesen_UK
dc.subjectNonisothermalen_UK
dc.subjectModellingen_UK
dc.subjectLogisticen_UK
dc.titleModelling of bacterial growth with shifts in temperature using automated methods with Listeria monocytogenes and Pseudomonas aeruginosa as examplesen_UK
dc.typeArticle-

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